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Record W2777769878 · doi:10.1080/24694452.2017.1392285

Decolonizing Urban Political Ecologies: The Production of Nature in Settler Colonial Cities

2017· article· en· W2777769878 on OpenAlexafffund
Michael Simpson, Jen Bagelman

Bibliographic record

VenueAnnals of the American Association of Geographers · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsColonialismIndigenousScholarshipPoliticsPolitical ecologyDecolonizationSociologyAgency (philosophy)EcologyEnvironmental ethicsGeographyPolitical sciencePolitical economyEthnologySocial scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

This article contributes to the decolonization of urban political ecology (UPE) by centering the ongoing processes of colonization and its resistances that produce urban natures in settler colonial cities. Placing the UPE literature in conversation with scholarship on settler colonialism and Indigenous resurgence, we demonstrate how the ecology of the settler colonial city is marked by the imposition of a colonial socionatural order on existing Indigenous socionatural systems. Examining the case of Lekwungen territory, commonly known as Victoria, British Columbia, we consider how parks, property lines, and settler agriculture are inscribed on a dynamic food system maintained by the Lekwungen over millennia. The erasure of the Lekwungen socioecological system, however, has never been complete. Efforts of the Lekwungen and their allies to continue managing these lands as part of an Indigenous food system have resulted in conflict with volunteer conservationists and parks officials who assert their own jurisdictional authority over the space. Drawing on interviews and participant observation research, we argue that the seemingly quotidian and everyday acts of tending to urban greenspace by these groups are actually of central importance to struggles over the reproduction of UPEs in the settler colonial city.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.020
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.366
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations64
Published2017
Admission routes2
Has abstractyes

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